Overview

Dataset statistics

Number of variables26
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.2 KiB
Average record size in memory257.7 B

Variable types

NUM21
CAT5

Reproduction

Analysis started2021-04-25 19:03:44.189237
Analysis finished2021-04-25 19:05:43.675010
Duration1 minute and 59.49 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

Average Away SPI Score is highly correlated with Average Home SPI Score and 1 other fieldsHigh correlation
Average Home SPI Score is highly correlated with Average Away SPI Score and 1 other fieldsHigh correlation
Average Season SPI Score is highly correlated with Average Home SPI Score and 1 other fieldsHigh correlation
Team Name is highly correlated with TeamHigh correlation
Team is highly correlated with Team NameHigh correlation
Average Fee (In) has unique values Unique
Average Home SPI Score has unique values Unique
Average Away SPI Score has unique values Unique
Average Season SPI Score has unique values Unique
Total Earned (Out) has 10 (10.0%) zeros Zeros
Min Fee Spent has 10 (10.0%) zeros Zeros
Average Spent on Goalkeeper has 55 (55.0%) zeros Zeros
Average Spent on Left-Back has 60 (60.0%) zeros Zeros
Average Spent on Right-Back has 67 (67.0%) zeros Zeros
Average Spent on Centre-Back has 39 (39.0%) zeros Zeros
Average Spent on Defensive Midfielder has 62 (62.0%) zeros Zeros
Average Spent on Left Winger has 55 (55.0%) zeros Zeros
Average Spent on Attacking Midfielder has 35 (35.0%) zeros Zeros
Average Spent on Right Winger has 58 (58.0%) zeros Zeros
Average Spent on Striker has 35 (35.0%) zeros Zeros
spi_diffs has 6 (6.0%) zeros Zeros

Variables

Year
Real number (ℝ≥0)

Distinct count5
Unique (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.0
Minimum2016
Maximum2020
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-04-25T20:05:43.799554image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum2016
5-th percentile2016
Q12017
median2018
Q32019
95-th percentile2020
Maximum2020
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.421338109
Coefficient of variation (CV)0.0007043300838
Kurtosis-1.304933726
Mean2018
Median Absolute Deviation (MAD)1
Skewness0
Sum201800
Variance2.02020202
2021-04-25T20:05:43.977560image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
20162020.0%
 
20172020.0%
 
20182020.0%
 
20192020.0%
 
20202020.0%
 
ValueCountFrequency (%) 
20162020.0%
 
20172020.0%
 
20182020.0%
 
20192020.0%
 
20202020.0%
 
ValueCountFrequency (%) 
20202020.0%
 
20192020.0%
 
20182020.0%
 
20172020.0%
 
20162020.0%
 

Team
Categorical

HIGH CORRELATION

Distinct count30
Unique (%)30.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
EVE
 
5
MNC
 
5
CRY
 
5
ARS
 
5
WHU
 
5
Other values (25)
75
ValueCountFrequency (%) 
EVE55.0%
 
MNC55.0%
 
CRY55.0%
 
ARS55.0%
 
WHU55.0%
 
BUR55.0%
 
MNU55.0%
 
CHE55.0%
 
LIV55.0%
 
LEI55.0%
 
Other values (20)5050.0%
 
2021-04-25T20:05:44.197576image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Team Name
Categorical

HIGH CORRELATION

Distinct count30
Unique (%)30.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
Burnley
 
5
Manchester City
 
5
West Ham United
 
5
Arsenal
 
5
Everton
 
5
Other values (25)
75
ValueCountFrequency (%) 
Burnley55.0%
 
Manchester City55.0%
 
West Ham United55.0%
 
Arsenal55.0%
 
Everton55.0%
 
Leicester City55.0%
 
Chelsea55.0%
 
Southampton55.0%
 
Manchester United55.0%
 
Crystal Palace55.0%
 
Other values (20)5050.0%
 
2021-04-25T20:05:44.415244image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length24
Median length12
Mean length12.31
Min length6

Total Transfers (In)
Real number (ℝ≥0)

Distinct count28
Unique (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.19
Minimum4
Maximum39
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-04-25T20:05:44.603697image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q112
median16
Q321.25
95-th percentile28.05
Maximum39
Range35
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation6.734045867
Coefficient of variation (CV)0.3917420516
Kurtosis0.1975909179
Mean17.19
Median Absolute Deviation (MAD)5
Skewness0.6163731049
Sum1719
Variance45.34737374
2021-04-25T20:05:44.757984image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1699.0%
 
1399.0%
 
1288.0%
 
1177.0%
 
1966.0%
 
2155.0%
 
1044.0%
 
944.0%
 
2644.0%
 
2444.0%
 
Other values (18)4040.0%
 
ValueCountFrequency (%) 
411.0%
 
511.0%
 
711.0%
 
833.0%
 
944.0%
 
ValueCountFrequency (%) 
3911.0%
 
3411.0%
 
3311.0%
 
2922.0%
 
2811.0%
 

Total Transfers (Out)
Real number (ℝ≥0)

Distinct count30
Unique (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.34
Minimum3
Maximum45
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-04-25T20:05:44.932681image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile8
Q112.75
median17
Q321.25
95-th percentile29.05
Maximum45
Range42
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation6.996709183
Coefficient of variation (CV)0.4035011063
Kurtosis1.497555584
Mean17.34
Median Absolute Deviation (MAD)4.5
Skewness0.7913918165
Sum1734
Variance48.95393939
2021-04-25T20:05:45.107427image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1399.0%
 
1277.0%
 
1777.0%
 
1666.0%
 
2066.0%
 
1466.0%
 
1866.0%
 
855.0%
 
2644.0%
 
1044.0%
 
Other values (20)4040.0%
 
ValueCountFrequency (%) 
311.0%
 
411.0%
 
611.0%
 
711.0%
 
855.0%
 
ValueCountFrequency (%) 
4511.0%
 
3411.0%
 
3211.0%
 
3022.0%
 
2911.0%
 

Total Spent (In)
Real number (ℝ≥0)

Distinct count98
Unique (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78310700.0
Minimum0.0
Maximum285750000.0
Zeros1
Zeros (%)1.0%
Memory size800.0 B
2021-04-25T20:05:45.280860image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10604500
Q140905000
median66715000
Q3101206500
95-th percentile189157500
Maximum285750000
Range285750000
Interquartile range (IQR)60301500

Descriptive statistics

Standard deviation54703505.36
Coefficient of variation (CV)0.6985444564
Kurtosis1.886535937
Mean78310700
Median Absolute Deviation (MAD)28550000
Skewness1.311106371
Sum7831070000
Variance2.992473499e+15
2021-04-25T20:05:45.459911image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
10818000022.0%
 
7515000022.0%
 
011.0%
 
17856000011.0%
 
4320000011.0%
 
5580000011.0%
 
6426000011.0%
 
13365000011.0%
 
9482000011.0%
 
4316000011.0%
 
Other values (88)8888.0%
 
ValueCountFrequency (%) 
011.0%
 
99000011.0%
 
644000011.0%
 
684000011.0%
 
936000011.0%
 
ValueCountFrequency (%) 
28575000011.0%
 
23454000011.0%
 
22248000011.0%
 
19260000011.0%
 
19215000011.0%
 

Total Earned (Out)
Real number (ℝ≥0)

ZEROS

Distinct count89
Unique (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37196760.0
Minimum0.0
Maximum180540000.0
Zeros10
Zeros (%)10.0%
Memory size800.0 B
2021-04-25T20:05:45.650623image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18790000
median25897500
Q352897500
95-th percentile98373600
Maximum180540000
Range180540000
Interquartile range (IQR)44107500

Descriptive statistics

Standard deviation37192548.86
Coefficient of variation (CV)0.9998867876
Kurtosis3.342542566
Mean37196760
Median Absolute Deviation (MAD)21125000
Skewness1.635909904
Sum3719676000
Variance1.383285691e+15
2021-04-25T20:05:45.858686image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
01010.0%
 
2367000022.0%
 
270000022.0%
 
7299000011.0%
 
6212000011.0%
 
4950000011.0%
 
7245000011.0%
 
2578500011.0%
 
3690000011.0%
 
8222000011.0%
 
Other values (79)7979.0%
 
ValueCountFrequency (%) 
01010.0%
 
24800011.0%
 
31500011.0%
 
108000011.0%
 
185000011.0%
 
ValueCountFrequency (%) 
18054000011.0%
 
17505000011.0%
 
14076000011.0%
 
14058000011.0%
 
11383200011.0%
 

Average Fee (In)
Real number (ℝ≥0)

UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4834573.905044597
Minimum0.0
Maximum18500000.0
Zeros1
Zeros (%)1.0%
Memory size800.0 B
2021-04-25T20:05:46.066085image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile842700
Q12289671.053
median3960480.769
Q36547147.335
95-th percentile11492862.18
Maximum18500000
Range18500000
Interquartile range (IQR)4257476.283

Descriptive statistics

Standard deviation3445288.713
Coefficient of variation (CV)0.7126354422
Kurtosis2.287029161
Mean4834573.905
Median Absolute Deviation (MAD)1764877.321
Skewness1.364190244
Sum483457390.5
Variance1.187001431e+13
2021-04-25T20:05:46.277015image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
011.0%
 
746200011.0%
 
2560952.38111.0%
 
222000011.0%
 
5138571.42911.0%
 
3100909.09111.0%
 
1815882.35311.0%
 
2171206.89711.0%
 
516750011.0%
 
78000011.0%
 
Other values (90)9090.0%
 
ValueCountFrequency (%) 
011.0%
 
19800011.0%
 
306666.666711.0%
 
621818.181811.0%
 
78000011.0%
 
ValueCountFrequency (%) 
1850000011.0%
 
14815384.6211.0%
 
13735384.6211.0%
 
1366500011.0%
 
12038076.9211.0%
 

Max Fee Spent
Real number (ℝ≥0)

Distinct count77
Unique (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29341100.0
Minimum0.0
Maximum94500000.0
Zeros1
Zeros (%)1.0%
Memory size800.0 B
2021-04-25T20:05:46.468589image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8932500
Q115300000
median22950000
Q337710000
95-th percentile72000000
Maximum94500000
Range94500000
Interquartile range (IQR)22410000

Descriptive statistics

Standard deviation19676077.76
Coefficient of variation (CV)0.6705978223
Kurtosis0.854498469
Mean29341100
Median Absolute Deviation (MAD)9315000
Skewness1.163879025
Sum2934110000
Variance3.871480362e+14
2021-04-25T20:05:46.635534image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2700000044.0%
 
1620000033.0%
 
7200000033.0%
 
2250000033.0%
 
4050000033.0%
 
3600000022.0%
 
1530000022.0%
 
3510000022.0%
 
4500000022.0%
 
1368000022.0%
 
Other values (67)7474.0%
 
ValueCountFrequency (%) 
011.0%
 
99000011.0%
 
297000011.0%
 
374000011.0%
 
765000011.0%
 
ValueCountFrequency (%) 
9450000011.0%
 
7830000011.0%
 
7623000011.0%
 
7619000011.0%
 
7200000033.0%
 

Min Fee Spent
Real number (ℝ≥0)

ZEROS

Distinct count82
Unique (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22006930.0
Minimum0.0
Maximum130500000.0
Zeros10
Zeros (%)10.0%
Memory size800.0 B
2021-04-25T20:05:46.831166image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15197500
median14670000
Q330195000
95-th percentile67079500
Maximum130500000
Range130500000
Interquartile range (IQR)24997500

Descriptive statistics

Standard deviation23232908.14
Coefficient of variation (CV)1.055708731
Kurtosis5.285627849
Mean22006930
Median Absolute Deviation (MAD)11070000
Skewness1.991061497
Sum2200693000
Variance5.397680205e+14
2021-04-25T20:05:47.007025image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
01010.0%
 
1215000044.0%
 
405000022.0%
 
585000022.0%
 
1080000022.0%
 
1800000022.0%
 
270000022.0%
 
2007000022.0%
 
5004000011.0%
 
1008000011.0%
 
Other values (72)7272.0%
 
ValueCountFrequency (%) 
01010.0%
 
24800011.0%
 
31500011.0%
 
108000011.0%
 
158000011.0%
 
ValueCountFrequency (%) 
13050000011.0%
 
10350000011.0%
 
7830000011.0%
 
7623000011.0%
 
7619000011.0%
 

Average Home SPI Score
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.11256842105263
Minimum47.46789473684209
Maximum94.92894736842106
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-04-25T20:05:47.197766image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum47.46789474
5-th percentile52.77263158
Q160.85039474
median69.06736842
Q380.37868421
95-th percentile91.386
Maximum94.92894737
Range47.46105263
Interquartile range (IQR)19.52828947

Descriptive statistics

Standard deviation11.73906548
Coefficient of variation (CV)0.1674316852
Kurtosis-0.8073763366
Mean70.11256842
Median Absolute Deviation (MAD)9.635263158
Skewness0.2472394254
Sum7011.256842
Variance137.8056584
2021-04-25T20:05:47.415876image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
47.4678947411.0%
 
62.7157894711.0%
 
63.3184210511.0%
 
71.0126315811.0%
 
61.3415789511.0%
 
86.0210526311.0%
 
75.7557894711.0%
 
53.9852631611.0%
 
82.6584210511.0%
 
80.2668421111.0%
 
Other values (90)9090.0%
 
ValueCountFrequency (%) 
47.4678947411.0%
 
47.5611.0%
 
49.5111.0%
 
51.2089473711.0%
 
52.4926315811.0%
 
ValueCountFrequency (%) 
94.9289473711.0%
 
94.1611.0%
 
93.5511.0%
 
92.7552631611.0%
 
91.8111.0%
 

Average Away SPI Score
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.06226842105264
Minimum47.195263157894736
Maximum94.8278947368421
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-04-25T20:05:47.607251image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum47.19526316
5-th percentile53.20663158
Q160.36684211
median68.97026316
Q380.52947368
95-th percentile91.35431579
Maximum94.82789474
Range47.63263158
Interquartile range (IQR)20.16263158

Descriptive statistics

Standard deviation11.74336522
Coefficient of variation (CV)0.1676132601
Kurtosis-0.8127470207
Mean70.06226842
Median Absolute Deviation (MAD)9.64
Skewness0.2486094875
Sum7006.226842
Variance137.9066267
2021-04-25T20:05:47.764716image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
51.0273684211.0%
 
70.1905263211.0%
 
61.8084210511.0%
 
59.8715789511.0%
 
68.9431578911.0%
 
69.2126315811.0%
 
94.8278947411.0%
 
7711.0%
 
61.3263157911.0%
 
67.6111.0%
 
Other values (90)9090.0%
 
ValueCountFrequency (%) 
47.1952631611.0%
 
47.6436842111.0%
 
49.3010526311.0%
 
51.0273684211.0%
 
52.7526315811.0%
 
ValueCountFrequency (%) 
94.8278947411.0%
 
94.1573684211.0%
 
93.5794736811.0%
 
92.7352631611.0%
 
91.6263157911.0%
 

Average Season SPI Score
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.08760000000001
Minimum47.32999999999999
Maximum94.88
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2021-04-25T20:05:47.960758image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum47.33
5-th percentile52.9905
Q160.555
median69.02
Q380.52
95-th percentile91.3685
Maximum94.88
Range47.55
Interquartile range (IQR)19.965

Descriptive statistics

Standard deviation11.74047391
Coefficient of variation (CV)0.1675114272
Kurtosis-0.8100353211
Mean70.0876
Median Absolute Deviation (MAD)9.645
Skewness0.2480566626
Sum7008.76
Variance137.8387275
2021-04-25T20:05:48.142780image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
82.5111.0%
 
81.1311.0%
 
63.6411.0%
 
69.4411.0%
 
69.4611.0%
 
94.8811.0%
 
84.7611.0%
 
67.311.0%
 
52.6211.0%
 
91.7211.0%
 
Other values (90)9090.0%
 
ValueCountFrequency (%) 
47.3311.0%
 
47.611.0%
 
49.4111.0%
 
51.1211.0%
 
52.6211.0%
 
ValueCountFrequency (%) 
94.8811.0%
 
94.1611.0%
 
93.5611.0%
 
92.7511.0%
 
91.7211.0%
 
Distinct count9
Unique (%)9.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
Striker
38
Attacking Midfielder
24
Centre-Back
13
Goalkeeper
10
Right Winger
 
7
Other values (4)
8
ValueCountFrequency (%) 
Striker3838.0%
 
Attacking Midfielder2424.0%
 
Centre-Back1313.0%
 
Goalkeeper1010.0%
 
Right Winger77.0%
 
Right-Back44.0%
 
Left Winger22.0%
 
Defensive Midfielder11.0%
 
Left-Back11.0%
 
2021-04-25T20:05:48.346669image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length20
Median length10
Mean length11.64
Min length7
Distinct count9
Unique (%)9.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
Striker
24
Attacking Midfielder
20
Centre-Back
15
Left Winger
15
Right Winger
10
Other values (4)
16
ValueCountFrequency (%) 
Striker2424.0%
 
Attacking Midfielder2020.0%
 
Centre-Back1515.0%
 
Left Winger1515.0%
 
Right Winger1010.0%
 
Defensive Midfielder99.0%
 
Left-Back33.0%
 
Goalkeeper22.0%
 
Right-Back22.0%
 
2021-04-25T20:05:48.594466image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length20
Median length11
Mean length12.65
Min length7
Distinct count9
Unique (%)9.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
Striker
20
Attacking Midfielder
17
Centre-Back
15
Right-Back
12
Goalkeeper
9
Other values (4)
27
ValueCountFrequency (%) 
Striker2020.0%
 
Attacking Midfielder1717.0%
 
Centre-Back1515.0%
 
Right-Back1212.0%
 
Goalkeeper99.0%
 
Right Winger77.0%
 
Defensive Midfielder77.0%
 
Left-Back77.0%
 
Left Winger66.0%
 
2021-04-25T20:05:48.836794image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Length

Max length20
Median length11
Mean length12.08
Min length7

Average Spent on Goalkeeper
Real number (ℝ≥0)

ZEROS

Distinct count39
Unique (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2047346.666666667
Minimum0.0
Maximum28125000.0
Zeros55
Zeros (%)55.0%
Memory size800.0 B
2021-04-25T20:05:49.015569image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31878750
95-th percentile9058500
Maximum28125000
Range28125000
Interquartile range (IQR)1878750

Descriptive statistics

Standard deviation4850143.848
Coefficient of variation (CV)2.368990033
Kurtosis16.83961792
Mean2047346.667
Median Absolute Deviation (MAD)0
Skewness3.935435531
Sum204734666.7
Variance2.352389535e+13
2021-04-25T20:05:49.199978image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
05555.0%
 
135000033.0%
 
207000033.0%
 
45000022.0%
 
141000022.0%
 
270000022.0%
 
198000011.0%
 
84600011.0%
 
720000011.0%
 
70200011.0%
 
Other values (29)2929.0%
 
ValueCountFrequency (%) 
05555.0%
 
45000022.0%
 
49500011.0%
 
56250011.0%
 
60000011.0%
 
ValueCountFrequency (%) 
2812500011.0%
 
2565000011.0%
 
2400000011.0%
 
1260000011.0%
 
1017000011.0%
 

Average Spent on Left-Back
Real number (ℝ≥0)

ZEROS

Distinct count37
Unique (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2667165.0
Minimum0.0
Maximum25875000.0
Zeros60
Zeros (%)60.0%
Memory size800.0 B
2021-04-25T20:05:49.426172image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33263750
95-th percentile13500000
Maximum25875000
Range25875000
Interquartile range (IQR)3263750

Descriptive statistics

Standard deviation5254166.212
Coefficient of variation (CV)1.969944196
Kurtosis7.393240697
Mean2667165
Median Absolute Deviation (MAD)0
Skewness2.630368245
Sum266716500
Variance2.760626258e+13
2021-04-25T20:05:49.607509image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
06060.0%
 
1350000033.0%
 
180000022.0%
 
90000022.0%
 
600000011.0%
 
207000011.0%
 
1035000011.0%
 
360000011.0%
 
162000011.0%
 
2587500011.0%
 
Other values (27)2727.0%
 
ValueCountFrequency (%) 
06060.0%
 
3600011.0%
 
18000011.0%
 
24300011.0%
 
346666.666711.0%
 
ValueCountFrequency (%) 
2587500011.0%
 
2430000011.0%
 
2259000011.0%
 
1395000011.0%
 
1350000033.0%
 

Average Spent on Right-Back
Real number (ℝ≥0)

ZEROS

Distinct count32
Unique (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2684196.666666667
Minimum0.0
Maximum49500000.0
Zeros67
Zeros (%)67.0%
Memory size800.0 B
2021-04-25T20:05:49.807509image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31387500
95-th percentile18004500
Maximum49500000
Range49500000
Interquartile range (IQR)1387500

Descriptive statistics

Standard deviation7330426.111
Coefficient of variation (CV)2.730957162
Kurtosis20.57592876
Mean2684196.667
Median Absolute Deviation (MAD)0
Skewness4.223694891
Sum268419666.7
Variance5.373514697e+13
2021-04-25T20:05:49.981193image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
06767.0%
 
150000022.0%
 
450000022.0%
 
1980000011.0%
 
2481000011.0%
 
4950000011.0%
 
270000011.0%
 
1125000011.0%
 
630000011.0%
 
756000011.0%
 
Other values (22)2222.0%
 
ValueCountFrequency (%) 
06767.0%
 
346666.666711.0%
 
37800011.0%
 
45000011.0%
 
90000011.0%
 
ValueCountFrequency (%) 
4950000011.0%
 
3465000011.0%
 
2481000011.0%
 
2160000011.0%
 
1980000011.0%
 

Average Spent on Centre-Back
Real number (ℝ≥0)

ZEROS

Distinct count57
Unique (%)57.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4762695.0
Minimum0.0
Maximum76190000.0
Zeros39
Zeros (%)39.0%
Memory size800.0 B
2021-04-25T20:05:50.159344image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1080000
Q36328125
95-th percentile15812250
Maximum76190000
Range76190000
Interquartile range (IQR)6328125

Descriptive statistics

Standard deviation9452952.667
Coefficient of variation (CV)1.984790684
Kurtosis33.99422533
Mean4762695
Median Absolute Deviation (MAD)1080000
Skewness5.039544821
Sum476269500
Variance8.935831413e+13
2021-04-25T20:05:50.372566image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
03939.0%
 
990000033.0%
 
180000022.0%
 
1575000022.0%
 
630000022.0%
 
195000011.0%
 
1699500011.0%
 
270000011.0%
 
641250011.0%
 
686800011.0%
 
Other values (47)4747.0%
 
ValueCountFrequency (%) 
03939.0%
 
88666.6666711.0%
 
25700011.0%
 
33750011.0%
 
38250011.0%
 
ValueCountFrequency (%) 
7619000011.0%
 
3915000011.0%
 
1800000011.0%
 
1710000011.0%
 
1699500011.0%
 

Average Spent on Defensive Midfielder
Real number (ℝ≥0)

ZEROS

Distinct count37
Unique (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5084416.666666667
Minimum0.0
Maximum51300000.0
Zeros62
Zeros (%)62.0%
Memory size800.0 B
2021-04-25T20:05:50.569086image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34852500
95-th percentile27450000
Maximum51300000
Range51300000
Interquartile range (IQR)4852500

Descriptive statistics

Standard deviation10365851.53
Coefficient of variation (CV)2.038749419
Kurtosis6.93458207
Mean5084416.667
Median Absolute Deviation (MAD)0
Skewness2.641663037
Sum508441666.7
Variance1.074508778e+14
2021-04-25T20:05:50.775532image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
06262.0%
 
261000022.0%
 
4050000022.0%
 
2250000011.0%
 
405000011.0%
 
819000011.0%
 
2520000011.0%
 
1296000011.0%
 
1125000011.0%
 
1035000011.0%
 
Other values (27)2727.0%
 
ValueCountFrequency (%) 
06262.0%
 
49500011.0%
 
67500011.0%
 
135000011.0%
 
141750011.0%
 
ValueCountFrequency (%) 
5130000011.0%
 
4050000022.0%
 
4023000011.0%
 
3600000011.0%
 
2700000011.0%
 

Average Spent on Left Winger
Real number (ℝ≥0)

ZEROS

Distinct count40
Unique (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3985531.666666667
Minimum0.0
Maximum30600000.0
Zeros55
Zeros (%)55.0%
Memory size800.0 B
2021-04-25T20:05:50.989781image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36255000
95-th percentile17642250
Maximum30600000
Range30600000
Interquartile range (IQR)6255000

Descriptive statistics

Standard deviation6448127.705
Coefficient of variation (CV)1.617883947
Kurtosis3.165103381
Mean3985531.667
Median Absolute Deviation (MAD)0
Skewness1.869646944
Sum398553166.7
Variance4.15783509e+13
2021-04-25T20:05:51.192436image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
05555.0%
 
450000033.0%
 
351000022.0%
 
684000022.0%
 
1710000022.0%
 
1620000022.0%
 
706500011.0%
 
840000011.0%
 
2169000011.0%
 
705600011.0%
 
Other values (30)3030.0%
 
ValueCountFrequency (%) 
05555.0%
 
40050011.0%
 
53100011.0%
 
676666.666711.0%
 
90000011.0%
 
ValueCountFrequency (%) 
3060000011.0%
 
2220000011.0%
 
2169000011.0%
 
2011500011.0%
 
1854000011.0%
 

Average Spent on Attacking Midfielder
Real number (ℝ≥0)

ZEROS

Distinct count65
Unique (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6126096.904761905
Minimum0.0
Maximum66150000.0
Zeros35
Zeros (%)35.0%
Memory size800.0 B
2021-04-25T20:05:51.408358image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2053750
Q36268500
95-th percentile28890000
Maximum66150000
Range66150000
Interquartile range (IQR)6268500

Descriptive statistics

Standard deviation11389963.38
Coefficient of variation (CV)1.859252892
Kurtosis11.87837105
Mean6126096.905
Median Absolute Deviation (MAD)2053750
Skewness3.252621697
Sum612609690.5
Variance1.297312659e+14
2021-04-25T20:05:51.600980image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
03535.0%
 
720000022.0%
 
1260000011.0%
 
1059750011.0%
 
99000011.0%
 
60000011.0%
 
2655000011.0%
 
255000011.0%
 
2880000011.0%
 
2221666.66711.0%
 
Other values (55)5555.0%
 
ValueCountFrequency (%) 
03535.0%
 
27000011.0%
 
49500011.0%
 
60000011.0%
 
676666.666711.0%
 
ValueCountFrequency (%) 
6615000011.0%
 
5400000011.0%
 
4950000011.0%
 
3510000011.0%
 
3060000011.0%
 

Average Spent on Right Winger
Real number (ℝ≥0)

ZEROS

Distinct count42
Unique (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4352158.333333334
Minimum0.0
Maximum57600000.0
Zeros58
Zeros (%)58.0%
Memory size800.0 B
2021-04-25T20:05:51.817564image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34983750
95-th percentile18913500
Maximum57600000
Range57600000
Interquartile range (IQR)4983750

Descriptive statistics

Standard deviation8769356.979
Coefficient of variation (CV)2.014944381
Kurtosis14.94744754
Mean4352158.333
Median Absolute Deviation (MAD)0
Skewness3.390138912
Sum435215833.3
Variance7.690162182e+13
2021-04-25T20:05:52.010683image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
05858.0%
 
90000022.0%
 
630000011.0%
 
1656000011.0%
 
225000011.0%
 
270000011.0%
 
2556000011.0%
 
1035000011.0%
 
1800000011.0%
 
1327500011.0%
 
Other values (32)3232.0%
 
ValueCountFrequency (%) 
05858.0%
 
90000022.0%
 
135000011.0%
 
138000011.0%
 
157500011.0%
 
ValueCountFrequency (%) 
5760000011.0%
 
3600000011.0%
 
3051000011.0%
 
2556000011.0%
 
1917000011.0%
 

Average Spent on Striker
Real number (ℝ≥0)

ZEROS

Distinct count62
Unique (%)62.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5267906.439393939
Minimum0.0
Maximum52540000.0
Zeros35
Zeros (%)35.0%
Memory size800.0 B
2021-04-25T20:05:52.259190image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1931250
Q36836250
95-th percentile20198500
Maximum52540000
Range52540000
Interquartile range (IQR)6836250

Descriptive statistics

Standard deviation8598339.632
Coefficient of variation (CV)1.63221191
Kurtosis10.6062254
Mean5267906.439
Median Absolute Deviation (MAD)1931250
Skewness2.888577917
Sum526790643.9
Variance7.393144443e+13
2021-04-25T20:05:52.514065image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
03535.0%
 
495000022.0%
 
405000022.0%
 
195000022.0%
 
274500022.0%
 
526500011.0%
 
162000011.0%
 
877500011.0%
 
1867500011.0%
 
741000011.0%
 
Other values (52)5252.0%
 
ValueCountFrequency (%) 
03535.0%
 
18000011.0%
 
27000011.0%
 
338333.333311.0%
 
346666.666711.0%
 
ValueCountFrequency (%) 
5254000011.0%
 
3811500011.0%
 
2772000011.0%
 
2641500011.0%
 
2340000011.0%
 

spi_diffs
Real number (ℝ)

ZEROS

Distinct count89
Unique (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7513249999999971
Minimum-9.840000000000003
Maximum10.990000000000023
Zeros6
Zeros (%)6.0%
Memory size800.0 B
2021-04-25T20:05:52.830827image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-9.84
5-th percentile-5.38
Q1-0.555
median1.26
Q33.745
95-th percentile10.1225
Maximum10.99
Range20.83
Interquartile range (IQR)4.3

Descriptive statistics

Standard deviation4.326203055
Coefficient of variation (CV)2.470245702
Kurtosis0.1044280492
Mean1.751325
Median Absolute Deviation (MAD)2.115
Skewness0.2602698289
Sum175.1325
Variance18.71603287
2021-04-25T20:05:53.108317image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
066.0%
 
-5.3822.0%
 
-1.822.0%
 
-4.622.0%
 
3.9422.0%
 
10.1722.0%
 
2.7222.0%
 
1.211.0%
 
4.7911.0%
 
4.2511.0%
 
Other values (79)7979.0%
 
ValueCountFrequency (%) 
-9.8411.0%
 
-7.4711.0%
 
-5.8211.0%
 
-5.411.0%
 
-5.3822.0%
 
ValueCountFrequency (%) 
10.9911.0%
 
10.8811.0%
 
10.3511.0%
 
10.1722.0%
 
10.1211.0%
 

Interactions

2021-04-25T20:03:52.462698image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:03:52.874323image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:03:53.041756image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:03:53.184688image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:03:53.339584image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:03:53.497819image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:03:53.662488image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:03:53.859359image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:03:54.264651image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:03:54.491797image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:03:55.759728image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:03:57.412557image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:03:57.621749image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:03:57.841559image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:03:58.013612image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:03:58.177748image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:03:58.338617image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:03:59.564688image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:03:59.722092image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:03:59.873089image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:00.018404image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:00.187693image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:00.336460image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:00.478906image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:00.600161image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:00.741753image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:00.881233image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:01.018666image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:01.586355image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:01.787667image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:01.971012image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:02.145983image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:02.326326image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:03.697744image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:03.864237image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:04.167256image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:04.467523image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:04.838845image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:05.144055image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:05.512827image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:05.674816image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:05.827797image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:05.959119image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:06.085238image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:06.202880image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:06.309680image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:06.434687image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:06.566985image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:06.694969image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:06.823477image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:07.614295image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:07.848912image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:08.071961image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:04:08.346612image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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Correlations

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Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
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Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
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Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-04-25T20:05:55.132555image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2021-04-25T20:05:55.590965image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2021-04-25T20:05:41.505418image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-04-25T20:05:43.282108image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Sample

First rows

YearTeamTeam NameTotal Transfers (In)Total Transfers (Out)Total Spent (In)Total Earned (Out)Average Fee (In)Max Fee SpentMin Fee SpentAverage Home SPI ScoreAverage Away SPI ScoreAverage Season SPI ScoreMost Purchased PositionPosition Max SpendPosition Min SpendAverage Spent on GoalkeeperAverage Spent on Left-BackAverage Spent on Right-BackAverage Spent on Centre-BackAverage Spent on Defensive MidfielderAverage Spent on Left WingerAverage Spent on Attacking MidfielderAverage Spent on Right WingerAverage Spent on Strikerspi_diffs
02016ARSArsenal1212101736000.09320000.08.478000e+0640500000.04500000.082.17421181.78578981.98Centre-BackDefensive MidfielderRight-Back0.036000.00.09900000.040500000.00.00.00.07200000.0-0.797500
12016BOUAFC Bournemouth192636626000.022941000.01.927684e+0616200000.010800000.060.94578960.80421160.88Right WingerRight WingerGoalkeeper846000.01620000.00.0517500.00.00.02105000.04050000.01950000.01.906667
22016BURBurnley262541040000.01080000.01.578462e+0613590000.01080000.057.48736857.94789557.72Attacking MidfielderLeft WingerLeft-Back1170000.00.00.00.05220000.06795000.02295000.02700000.00.02.875000
32016CHEChelsea2730119520000.097560000.04.426667e+0635100000.054000000.084.54684284.52842184.54Attacking MidfielderAttacking MidfielderStriker0.010350000.00.06300000.00.00.06444000.00.08775000.0-0.080000
42016CRYCrystal Palace222591170000.045180000.04.144091e+0628080000.026010000.058.64684258.36473758.51StrikerStrikerCentre-Back0.09450000.00.04200000.03397500.02484000.00.014040000.05814000.02.775000
52016EVEEverton182077310000.054720000.04.295000e+0626010000.050040000.069.92578970.19052670.06StrikerCentre-BackStriker900000.00.00.06300000.020610000.011310000.02550000.00.0270000.01.417500
62016HULHull City251636000000.026010000.01.440000e+0613860000.010800000.047.56000047.64368447.60StrikerAttacking MidfielderLeft Winger1845000.00.0450000.0585000.00.02760000.05220000.00.0180000.00.000000
72016LEILeicester City171882440000.059450000.04.849412e+0627450000.032220000.062.71578962.91894762.82StrikerAttacking MidfielderGoalkeeper3150000.00.00.00.014895000.00.01500000.00.011250000.04.192500
82016LIVLiverpool191971910000.076842000.03.784737e+0637080000.028080000.081.34368480.92315881.13GoalkeeperLeft WingerAttacking Midfielder1395000.00.00.01500000.00.018540000.08250000.00.00.02.555000
92016MIDMiddlesbrough182043160000.012150000.02.397778e+069450000.05310000.052.78736853.23052653.01Attacking MidfielderAttacking MidfielderStriker0.00.01500000.00.00.04500000.04710000.07430000.04200000.00.000000

Last rows

YearTeamTeam NameTotal Transfers (In)Total Transfers (Out)Total Spent (In)Total Earned (Out)Average Fee (In)Max Fee SpentMin Fee SpentAverage Home SPI ScoreAverage Away SPI ScoreAverage Season SPI ScoreMost Purchased PositionPosition Max SpendPosition Min SpendAverage Spent on GoalkeeperAverage Spent on Left-BackAverage Spent on Right-BackAverage Spent on Centre-BackAverage Spent on Defensive MidfielderAverage Spent on Left WingerAverage Spent on Attacking MidfielderAverage Spent on Right WingerAverage Spent on Strikerspi_diffs
902020LIVLiverpool111071730000.037710000.06.520909e+0640230000.023400000.091.36368491.34000091.35Attacking MidfielderLeft WingerStriker0.011700000.00.00.00.020115000.04950000.00.00.0-1.40
912020MNCManchester City2220146970000.055490000.06.680455e+0661200000.040500000.094.16000094.15736894.16Centre-BackCentre-BackCentre-Back0.00.03150000.016995000.00.00.00.010350000.07425000.0-0.72
922020MNUManchester United10875150000.013500000.07.515000e+0635100000.013500000.085.45631685.38000085.42Right WingerAttacking MidfielderCentre-Back0.013500000.00.00.00.00.035100000.013275000.00.02.43
932020NEWNewcastle101234880000.0248000.03.488000e+0620030000.0248000.064.86842164.77684264.82GoalkeeperStrikerLeft-Back0.07425000.00.00.00.00.00.00.020030000.00.30
942020SHUSheffield United151556440000.00.03.762667e+0623400000.00.067.67473767.63421167.65GoalkeeperStrikerAttacking Midfielder6150000.03470000.03470000.00.00.00.0600000.02925000.023400000.0-1.80
952020SOUSouthampton161336270000.023670000.02.266875e+0613500000.014940000.071.01263271.02105371.02Defensive MidfielderDefensive MidfielderRight-Back0.00.05985000.03600000.03375000.00.00.00.00.01.56
962020TOTTottenham Hotspur11788560000.011970000.08.050909e+0628800000.011970000.078.55736878.52578978.54Right-BackAttacking MidfielderRight-Back0.013500000.07560000.00.07470000.00.028800000.00.02700000.0-2.33
972020WBAWest Bromwich Albion101222320000.06840000.02.232000e+0612150000.05850000.058.42052658.34526358.38Right WingerLeft WingerLeft Winger495000.00.00.0495000.00.06075000.00.04095000.00.04.25
982020WHUWest Ham United91019980000.020520000.02.220000e+0614580000.012150000.069.08210568.99736869.04Right-BackDefensive MidfielderCentre-Back0.00.02700000.00.014580000.00.00.00.00.01.74
992020WLVWolverhampton131573620000.072180000.05.663077e+0636000000.040230000.078.46421178.43578978.45StrikerLeft WingerRight-Back0.0900000.017910000.00.00.00.00.00.018000000.01.37